Results 221 to 230 of about 16,110 (265)
Automated Detection of COVID-19 Using Machine Learning Analysis of White Blood Cell Flow Cytometry Images. [PDF]
Hirosse AE +3 more
europepmc +1 more source
Fractal: Towards FAIR bioimage analysis at scale with OME-Zarr-native workflows
Lüthi J +13 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
ON FRACTAL DIMENSIONS OF FRACTAL FUNCTIONS USING FUNCTION SPACES
Bulletin of the Australian Mathematical Society, 2022AbstractBased on the work of Mauldin and Williams [‘On the Hausdorff dimension of some graphs’,Trans. Amer. Math. Soc.298(2) (1986), 793–803] on convex Lipschitz functions, we prove that fractal interpolation functions belong to the space of convex Lipschitz functions under certain conditions.
SUBHASH CHANDRA, SYED ABBAS
openaire +1 more source
Fractal Diffusion in a Chemical Space
International Journal of Nonlinear Sciences and Numerical Simulation, 2000Summary: We focus on fractal diffusion in a chemical space. By the way of analogy, we derive not only the standard diffusion equation, but also the fractional diffusion equation in a chemical space. Moreover, we consider a special case of diffusion in a chemical space with a power-law distribution of waiting time, and obtain its diffusion exponent.
Fang, Yaquan +3 more
openaire +1 more source
Probability Space of Stochastic Fractals
Ukrainian Mathematical Journal, 2004The authors propose a method to define random subsets of \(\mathbb R\) in such a way that the fractal dimension becomes a measurable functional. They introduce a class of \(c\)-systems of sets and prove that a finite measure on a \(c\)-system can be extended, in a unique way, to the minimal \(\sigma\)-algebra generated by the \(c\)-system.
Virchenko, Yu. P., Shpilinskaya, O. A.
openaire +2 more sources
On Search Spaces of Fractal Nature
2018In this paper we discuss the search spaces of fractional/fractal dimensions and some of the problems where such spaces may emerge. We also consider relationships between Cantor set and probabilistic spaces, and the potential application of Cantor Dust as a combination of probability trees to create hybrid models. We believe that such considerations can
Leszek Kaliciak +2 more
openaire +2 more sources
Fractals, 2012
The methodology of fractal sets generates new procedures for the analysis of functions whose graphs have a complex geometric structure. In the present paper, a method for the definition of fractal functions is described. The new mappings are perturbed versions of classical bases as Legendre polynomials, etc.
openaire +1 more source
The methodology of fractal sets generates new procedures for the analysis of functions whose graphs have a complex geometric structure. In the present paper, a method for the definition of fractal functions is described. The new mappings are perturbed versions of classical bases as Legendre polynomials, etc.
openaire +1 more source
Symbolic Sequence Classification in the Fractal Space
IEEE Transactions on Emerging Topics in Computational Intelligence, 2021Sequence classification has a range of applications and attracted a lot of attentions. Different from feature vectors, symbolic sequences have no explicit features. Due to this limitation, even with sophisticated feature selection techniques, the dimension of potential feature space could be very high, making classification methods hard to capture the ...
Yang Li 0066 +3 more
openaire +1 more source

